squeeze
Remove dimensions of length 1
Syntax
Description
B = squeeze(
returns an
array with the same elements as the input array A
)A
, but with dimensions of
length 1 removed. For example, if A
is a 3-by-1-by-1-by-2 array, then
squeeze(A)
returns a 3-by-2 matrix.
If A
is a row vector, column vector, scalar, or an array with no
dimensions of length 1, then squeeze
returns the input
A
.
Examples
3-D Array to Matrix
Create a 2-by-1-by-2 array and remove the dimension of length 1, resulting in a 2-by-2 matrix.
A = zeros(2,1,2); A(:,:,1) = [1 2]'; A(:,:,2) = [3 4]'
A = A(:,:,1) = 1 2 A(:,:,2) = 3 4
B = squeeze(A)
B = 2×2
1 3
2 4
3-D Array to Vector
Create a 1-by-1-by-3 array and remove the dimensions of length 1, resulting in a 3-by-1 column vector.
A = zeros(1,1,3); A(:,:,1:3) = [1 2 3]
A = A(:,:,1) = 1 A(:,:,2) = 2 A(:,:,3) = 3
B = squeeze(A)
B = 3×1
1
2
3
Input Arguments
A
— Input array
multidimensional array
Input array, specified as a multidimensional array.
Extended Capabilities
Tall Arrays
Calculate with arrays that have more rows than fit in memory.
This function fully supports tall arrays. For more information, see Tall Arrays.
C/C++ Code Generation
Generate C and C++ code using MATLAB® Coder™.
Usage notes and limitations:
Does not support cell arrays.
GPU Code Generation
Generate CUDA® code for NVIDIA® GPUs using GPU Coder™.
Usage notes and limitations:
Does not support cell arrays.
Thread-Based Environment
Run code in the background using MATLAB® backgroundPool
or accelerate code with Parallel Computing Toolbox™ ThreadPool
.
This function fully supports thread-based environments. For more information, see Run MATLAB Functions in Thread-Based Environment.
GPU Arrays
Accelerate code by running on a graphics processing unit (GPU) using Parallel Computing Toolbox™.
This function fully supports GPU arrays. For more information, see Run MATLAB Functions on a GPU (Parallel Computing Toolbox).
Distributed Arrays
Partition large arrays across the combined memory of your cluster using Parallel Computing Toolbox™.
This function fully supports distributed arrays. For more information, see Run MATLAB Functions with Distributed Arrays (Parallel Computing Toolbox).
Version History
Introduced before R2006a
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